Ελληνικά
What is eyeRadar?

AI-powered eye-tracking system that objectively measures reading patterns and difficulties

Features

Fast, objective, science-based reading analysis with personalized intervention

Impact

Discover how eyeRadar transforms assessment into measurable progress for students.

Trust Framework

Certified, patented, and research-validated standards ensuring accuracy and ethical use.

A Secure, Evidence-Based Framework for Accurate Reading Assessment You Can Trust

eyeRadar meets international standards for compliance, research validation, and data protection, ensuring trustworthy results for professionals, families, and institutions.

Certifications

Minimal & Functional

eyeRadar meets rigorous clinical, educational, and regulatory standards.

Ethical AI & GDPR Compliance

Developed following strict privacy, security, and GDPR standards to protect learner data at all times.

CE Mark

eyeRadar has been CE certified in the European Union by the Hellenic National Organisation for Medicines (E.O.F.)

Research-Validated Across Countries

Validated through large-scale studies in Greece, Cyprus, the UK, the USA, with more than 4,000 students.

Peer-Reviewed Evidence

Supported by multiple scientific publications demonstrating accuracy, reproducibility, and diagnostic relevance.

Cross-Disciplinary Oversight

Developed by a team of ophthalmologists, neuroscientists, speech pathologists, educators, and AI engineers to ensure scientific integrity.

IP Validation

eyeRadar’s patented methodology protects the proprietary algorithms, mathematical models, and specialized processes that power our reading analysis. Developed over 14+ years and validated in international studies, this intellectual property ensures unmatched accuracy, reproducibility, and scientific credibility.
External Link
Publications
eyeRadar is grounded in more than a decade of scientific work. A full list of studies, papers, and technical reports will be available as our research team releases them.

Reading and Visual Processing in Greek Dyslexic Children: An Eye-Movement Study

Towards a robust and accurate screening tool for dyslexia with data augmentation using GANs

RADAR: A Novel Fast-Screening Method for Reading Difficulties with Special Focus on Dyslexia

Evaluating reading process using a novel screening method named R.A.D.A.R (Rapid Assessment of Dyslexia and Abnormalities in Reading)

DysLexML: Screening Tool for Dyslexia Using Machine Learning

Silent versus Reading Out Loud modes: An eye-tracking study

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